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Visibility Enhancement and Fog Detection: Solutions Presented in Recent Scientific Papers with Potential for Application to Mobile Systems

Răzvan-Cătălin Miclea, Vlad-Ilie Ungureanu, Florin-Daniel Sandru, Ioan Silea
2021 Sensors  
Searching in the scientific literature, in the last few years, for the preoccupations of the researchers for avoiding the problems of the mobile systems caused by the environmental factors, we found that  ...  In mobile systems, fog, rain, snow, haze, and sun glare are natural phenomena that can be very dangerous for drivers.  ...  The paper [113] proposes a method to detect traffic objects in bad weather based on a dual input region-based convolutional neural network.  ... 
doi:10.3390/s21103370 pmid:34066176 fatcat:owkgxijv2bccjn2y3vzoxw2hka

A Review on Early Forest Fire Detection Systems Using Optical Remote Sensing

Panagiotis Barmpoutis, Periklis Papaioannou, Kosmas Dimitropoulos, Nikos Grammalidis
2020 Sensors  
Three types of systems are identified, namely terrestrial, airborne, and spaceborne-based systems, while various models aiming to detect fire occurrences with high accuracy in challenging environments  ...  Finally, the strengths and weaknesses of fire detection systems based on optical remote sensing are discussed aiming to contribute to future research projects for the development of early warning fire  ...  Firstly, they identified the candidate regions based on the background dynamic update and dark channel a priori method [48] .  ... 
doi:10.3390/s20226442 pmid:33187292 fatcat:4sw3yywfx5gl5cv3ml6jfkdvja

Graph-based Thermal-Inertial SLAM with Probabilistic Neural Networks [article]

Muhamad Risqi U. Saputra, Chris Xiaoxuan Lu, Pedro P. B. de Gusmao, Bing Wang, Andrew Markham, Niki Trigoni
2021 arXiv   pre-print
In scenarios with adverse visibility or in the presence of airborne particulates (e.g. smoke, dust, etc.), alternative modalities such as those based on thermal imaging and inertial sensors are more promising  ...  Simultaneous Localization and Mapping (SLAM) system typically employ vision-based sensors to observe the surrounding environment.  ...  Fig. 19 (a)-(c) show some qualitative results from the handheld evaluation. 2) Test in Smoke-filled Environment: For the evaluation in smoke-filled environment, we compare our approach with a zero-velocity-aided  ... 
arXiv:2104.07196v3 fatcat:z4qqd4knyzc63futnkyypoo4ie

2021 Index IEEE Internet of Things Journal Vol. 8

2021 IEEE Internet of Things Journal  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  -that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021.  ...  ., +, JIoT Feb. 15, 2021 3000-3013 Intrusion Detection for Cyber-Physical Systems Using Generative Adver-sarial Networks in Fog Environment.  ... 
doi:10.1109/jiot.2022.3141840 fatcat:42a2qzt4jnbwxihxp6rzosha3y

Deep Learning Based SWIR Object Detection in Long-Range Surveillance Systems: An Automated Cross-Spectral Approach

Miloš S. Pavlović, Petar D. Milanović, Miloš S. Stanković, Dragana B. Perić, Ilija V. Popadić, Miroslav V. Perić
2022 Sensors  
Unfortunately, a lack of datasets for DL-based object detection models training for the SWIR channel limits their performance.  ...  Integration of deep-learning (DL)-based real-time object detection in MSIS enables an increase in efficient utilization for complex long-range surveillance solutions such as border or critical assets control  ...  However, in conditions of smoke or fog, visible-light and thermal cameras provide relatively limited information.  ... 
doi:10.3390/s22072562 pmid:35408177 pmcid:PMC9002380 fatcat:byp2u6akxjhirow56fj5ruxnh4

Multi-Modal 3D Object Detection in Autonomous Driving: a Survey [article]

Yingjie Wang, Qiuyu Mao, Hanqi Zhu, Yu Zhang, Jianmin Ji, Yanyong Zhang
2021 arXiv   pre-print
In this survey, we first introduce the background of popular sensors for autonomous cars, including their common data representations as well as object detection networks developed for each type of sensor  ...  Next, we discuss some popular datasets for multi-modal 3D object detection, with a special focus on the sensor data included in each dataset.  ...  Feature Fusion Feature fusion mixes the modalities hierarchically in neural network layers. It allows the features from different modalities to interact with each other over layers.  ... 
arXiv:2106.12735v2 fatcat:5twzbk4yhrcfzddp7zghnsivna

2021 Index IEEE Transactions on Image Processing Vol. 30

2021 IEEE Transactions on Image Processing  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  -that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021.  ...  ., +, TIP 2021 5211-5222 SlimConv: Reducing Channel Redundancy in Convolutional Neural Networks by Features Recombining.  ... 
doi:10.1109/tip.2022.3142569 fatcat:z26yhwuecbgrnb2czhwjlf73qu

A Contrast-Guided Approach for the Enhancement of Low-Lighting Underwater Images

Tunai Porto Marques, Alexandra Branzan Albu, Maia Hoeberechts
2019 Journal of Imaging  
The framework is based on a novel dehazing mechanism that considers local contrast information in the input images, and offers a solution to three common disadvantages of current single image dehazing  ...  Experimental results and a comparison with other underwater-specific image enhancement methods show that the proposed framework can be used for significantly improving the visibility in low-lighting underwater  ...  Data used in this work were provided by Ocean Networks Canada. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/jimaging5100079 pmid:34460645 pmcid:PMC8321153 fatcat:wiasst6a3fcylnbmqccmpcpj5y

Convolutional Neural Network-based Optical Camera Communication System for Internet of Vehicles [article]

Amirul Islam
2019 arXiv   pre-print
Here, a convolutional neural network (CNN) based vehicular OCC system has been introduced to guarantee communication to maintain communication at the adverse condition and near-infrared is proposed in  ...  In this research, a vision camera and high-speed camera has been proposed to provide multiple vehicle detection and fast data processing.  ...  We propose NIR-based camera communication in vehicular environments.  ... 
arXiv:1911.09529v1 fatcat:yjnq6u4bkjakzhcuikd5h53noq

Deep Learning on Multi Sensor Data for Counter UAV Applications—A Systematic Review

Stamatios Samaras, Eleni Diamantidou, Dimitrios Ataloglou, Nikos Sakellariou, Anastasios Vafeiadis, Vasilis Magoulianitis, Antonios Lalas, Anastasios Dimou, Dimitrios Zarpalas, Konstantinos Votis, Petros Daras, Dimitrios Tzovaras
2019 Sensors  
In recent years, researchers have utilized deep learning based methodologies to tackle these tasks for generic objects and made noteworthy progress, yet applying deep learning for UAV detection and classification  ...  Usage of Unmanned Aerial Vehicles (UAVs) is growing rapidly in a wide range of consumer applications, as they prove to be both autonomous and flexible in a variety of environments and tasks.  ...  in total darkness.  ... 
doi:10.3390/s19224837 pmid:31698862 pmcid:PMC6891421 fatcat:rivnqa3uafdpnffieajljuc23a

A Survey of Multi-Agent Cross Domain Cooperative Perception

Zhongpan Zhu, Qiwei Du, Zhipeng Wang, Gang Li
2022 Electronics  
Intelligent unmanned systems for ground, sea, aviation, and aerospace application are important research directions for the new generation of artificial intelligence in China.  ...  direction of multi-agent cooperative perception theory research for solving the challenges of the complex environment, interactive communication, and cross-domain tasks was expounded.  ...  Information security is a very big field that has received a lot of attention in computer networks and wireless sensor networks [88] .  ... 
doi:10.3390/electronics11071091 fatcat:wwgq4r4cyvgbvflgy6etfrusxu

Artificial Intelligence in the Creative Industries: A Review [article]

Nantheera Anantrasirichai, David Bull
2021 arXiv   pre-print
A brief background of AI, and specifically Machine Learning (ML) algorithms, is provided including Convolutional Neural Network (CNNs), Generative Adversarial Networks (GANs), Recurrent Neural Networks  ...  We foresee that, in the near future, machine learning-based AI will be adopted widely as a tool or collaborative assistant for creativity.  ...  Salient object detection Salient object detection (SOD) is a task based on visual attention mechanisms, in which algorithms aim to identify objects or regions that are likely to be the focus of attention  ... 
arXiv:2007.12391v5 fatcat:mn2xqeylyrbabbu5zwln3admtm

Artificial intelligence in the creative industries: a review

Nantheera Anantrasirichai, David Bull
2021 Artificial Intelligence Review  
We foresee that, in the near future, ML-based AI will be adopted widely as a tool or collaborative assistant for creativity.  ...  A brief background of AI, and specifically machine learning (ML) algorithms, is provided including convolutional neural networks (CNNs), generative adversarial networks (GANs), recurrent neural networks  ...  Dehazing In certain situations, fog, haze, smoke and mist can create mood in an image or video.  ... 
doi:10.1007/s10462-021-10039-7 fatcat:tcctdi7vprfx7mlujvqmpiy3ru

National Conference on Recent Advances in Communication Engineering and Information Technology

2020 International journal for innovative engineering and management research  
We provide a broad-based engineering curriculum, with opportunities for specialization and self-directed learning and development.  ...  Our philosophy is not only to educate engineers, but also to prepare them for future leadership roles in industry– indeed, many of our alumni are now Directors of Industry, leading their organizations  ...  In this paper, Convolutional Neural Networks (CNN) is used to detect objects in the environment.  ... 
doi:10.48047/ijiemr/v08/spe/02 fatcat:woay334irjgebf5bixuc4ng6em

Recoil imaging for dark matter, neutrinos, and physics beyond the Standard Model [article]

C. A. J. O'Hare, D. Loomba, K. Altenmüller, H. Álvarez-Pol, F. D. Amaro, H. M. Araújo, D. Aristizabal Sierra, J. Asaadi, D. Attié, S. Aune, C. Awe, Y. Ayyad (+155 others)
2022 arXiv   pre-print
The science case covered includes: the discovery of dark matter into the neutrino fog, directional detection of sub-MeV solar neutrinos, the precision study of coherent-elastic neutrino-nucleus scattering  ...  However, at low energies, where ionization signatures are small in size, recoil imaging only seems to be a practical goal for micro-pattern gas detectors.  ...  For example, 3D convolutional neural networks are ideally suited to analyze the 3D ionization images created by HD TPCs.  ... 
arXiv:2203.05914v2 fatcat:dc3vhfsckzdrzidcwg7rluwksy
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